Ocean Diurnal Variations Measured by the Korean Geostationary Ocean Color Imager Menghua Wang1, Lide Jiang1,2, Seunghyun Son1,2, & Wei Shi1,2 1 NOAA/NESDIS Center for Satellite Applications & Research (STAR) College Park, MD, USA 2 CIRA, Colorado State University, Fort Collins, CO, USA July 24th, 2013 at ‘CoRP 9th Annual Science Symposium’ in Madison, Wisconsin COMS-1 – Communication, Ocean and Meteorological Satellite GOCI Introduction 412nm Yellow substance and turbidity 443nm Chlorophyll absorption maximum 490nm Chlorophyll and other pigments 555nm Turbidity, suspended sediment 660nm Baseline of fluorescence signal, Chlorophyll, suspended sediment 680nm Atmospheric correction and fluorescence signal 745nm Atmospheric correction and baseline of fluorescence signal 865nm Aerosol optical thickness, vegetation, water vapor reference over the ocean NOAA-MSL12 Processing for GOCI data Collaboration effort between NOAA/NESDIS/STAR and KIOST/KOSC. NOAA-MSL12 data processing (based on NASA SeaDAS) is improved for the GOCI data processing. Various parameters and lookup tables are generated, and a new atmospheric correction algorithm has been developed for GOCI data processing in the region (Wang et al., 2012; 2013). New cloud masking method has been recently developed for very turbid coastal waters (e.g., Yangtz River mouth, Korean Coastal areas). The GOCI atmospheric correction algorithm is recently improved using new vicarious calibration. GOCI Level-1B data (Mar. 2011﹣Feb. 2013) were obtained from the Korea Ocean Satellite Center and processed using the new atmospheric correction algorithm. In situ optical measurements (Mar.﹣Nov. 2011) are used to quantify and validate GOCI ocean color products with the new atmospheric correction algorithm for GOCI ocean color data processing. Estimating NIR Contribution • • • nLw(748) = f(Kd(490)), f(x) = 0.465x-0.385x2+0.152x3-0.0121x4 nLw(869) = g(nLw(748)), g(x) = 0.368x+0.04x2 M. Wang, W. Shi, and L. Jiang, “Atmospheric correction using near-infrared bands for satellite ocean color data processing in the turbid western Pacific region”, Optical Express, 20(2), 741-753 (2012) GOCI Coverage over Korean Peninsular and location of in-situ measurements *. In-situ bio-optical measurements are provided by KIOST/KOSC GOCI Matchup Comparison M. Wang, J.H. Ahn, L. Jiang, W. Shi, S. Son, Y.J. Park, and J.H. Ryu, “Ocean color products from the Korean Geostationary Ocean Color Imager (GOCI)”, Optical Express, 21(3), 3835-3849 (2013) Matchup between in-situ and GOCI NOAA-MSL12 using New Gain Mean Ratio of GOCI NOAA-MSL12 vs. In Situ Var Old (Wang et al. 2013) New Gain Avg (std) No Avg (std) No nLw(413) 1.2737 (0.599) 18 1.2433 (0.481) 17 nLw(443) 1.4182 (0.486) 18 1.0677 (0.300) 18 nLw(490) 1.2868 (0.357) 18 1.1125 (0.247) 18 nLw(555) 1.1506 (0.308) 18 1.1068 (0.242) 18 nLw(660) 1.3367 (0.531) 18 1.0990 (0.333) 16 nLw(680) 1.4092 (0.586) 17 1.1273 (0.339) 17 Spectral shape of in situ and GOCI-derived nLw(λ) measurements Black-in situ, red-GOCI ECS (Sep) SW (Sep) SW (Sep) SW (Sep) SW (Sep) SW (Sep) SW (Sep) SW (Sep) GOCI Composite Images (2011 Mar. – 2012 Oct.) Climatology GOCI Images from Mar. 2011 to Oct. 2012 (at 12:00) Chl-a Kd(490) nLw(412) nLw(443) nLw(490) nLw(555) nLw(660) nLw(680) Monthly Composite Images of GOCI Kd(490) (Mar. 2011 – Oct. 2012, at 12:00) Time Series of GOCI Chl-a & Kd(490) Monthly Mean (Mar. 2011 – Oct. 2012, at 12:00) Chl-a A C B Kd(490) A C B GOCI Images for Diurnal Changes GOCI-MSL12 Chl-a (Apr. 5, 2011) 09h 10h 11h 12h 13h 14h 15h 16h GOCI Images in the East China Sea GOCI NOAA-MSL12 Chl-a (2012-04-26) Box1 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 Diurnal Changes GOCI NOAA-MSL12 Kd(490) (2012-04-27) 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 GOCI NOAA-MSL12 Chl-a (2012-04-26) GOCI NOAA-MSL12 Kd(490) (2012-04-26) GOCI Images in Hangzhou Bay & Lake Taihu GOCI NOAA-MSL12 Kd(490) (2012-07-29) GOCI Images in the Bohai Sea GOCI NOAA-MSL12 Kd(490) (2012-03-25) 09:00 10:00 11:00 12:00 14:00 15:00 16:00 Box1 13:00 Diurnal Changes (Box1) GOCI NOAA-MSL12 Kd(490) (2012-03-25) GOCI NOAA-MSL12 Kd(490) (2012-08-23) GOCI Images in Dump Site in the Yellow Sea GOCI NOAA-MSL12 Kd(490) (Jul. 19, 2011 ) 09h 10h 11h 12h 13h 14h 15h 16h Summary and Conclusions The GOCI ocean color products for the GOCI coverage region have been derived using an iterative NIR-corrected atmospheric correction algorithm. Validation results show a reasonably good agreement between GOCI retrievals and in situ measurements. This study demonstrates that GOCI ocean color products can be confidently used to characterize and quantify the ocean environments as well as the diurnal variability of the marine ecosystem in the western Pacific. This unique capability from geostationary satellite sensor can complement the ocean color observations of other polar-orbiting satellites such as MODIS and VIIRS, which have a global coverage but lack the temporal resolution to monitor the dynamics of marine environments on an hourly basis. Thank you! GOCI NOAA-MSL12 Kd(490) (2012-08-23) Backup Spectral shape of in situ and GOCI-derived nLw(λ) measurements Black-in situ, red-GOCI JES (Mar.) South (Apr.) South (Apr.) South (Apr.) JES (May) JES (May) JES (May) ECS (Aug) GOCI-MSL12 Chl-a (Apr. 26, 2012) 09h 10h 11h 12h 13h 14h 15h 16h GOCI-MSL12 Chl-a (Oct. 2, 2012) 09h 10h 11h 12h 13h 14h 15h 16h GOCI-MSL12 Chl-a (Oct. 18, 2012) 09h 10h 11h 12h 13h 14h 15h 16h GOCI NOAA-MSL12 Chl-a (Jul. 19, 2011 ) 09h 10h 11h 12h 13h 14h 15h 16h GOCI NOAA-MSL12 Kd(490) (2012-03-25) 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 GOCI NOAA-MSL12 Kd(490) (2012-03-25) 09:00 10:00 11:00 12:00 14:00 15:00 16:00 Box2 13:00 Diurnal Changes (Box2) GOCI NOAA-MSL12 Kd(490) (2012-08-23) 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 GOCI NOAA-MSL12 Chl-a (2012-07-29) GOCI NOAA-MSL12 Chl-a (2012-04-27) Box1 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 Diurnal Changes GOCI NOAA-MSL12 Chl-a (2012-04-26) 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 GOCI NOAA-MSL12 Kd(490) (2012-04-26) 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 GOCI NOAA-MSL12 Chl-a (2012-04-27) 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00